Repository of Research and Investigative Information

Repository of Research and Investigative Information

Baqiyatallah University of Medical Sciences

Detection of E. coli O157:H7 and Shigella dysenteriae toxins in clinical samples by PCR-ELISA

(2015) Detection of E. coli O157:H7 and Shigella dysenteriae toxins in clinical samples by PCR-ELISA. Brazilian Journal of Infectious Diseases. pp. 278-284. ISSN 1413-8670

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Abstract

Shiga toxin producing bacteria are potential causes of serious human disease such as hemorrhagic colitis, severe inflammations of ileocolonic regions of gastrointestinal tract, thrombocytopenia, septicemia, malignant disorders in urinary ducts, hemolytic uremic syndrome (HUS). Shiga toxin 1 (stx1), shiga toxin 2 (stx2), or a combination of both are responsible for most clinical symptoms of these diseases. A lot of methods have been developed so far to detect shiga toxins such as cell culture, ELISA, and RFPLA, but due to high costs and labor time in addition to low sensitivity, they have not received much attention. In this study, PCR-ELISA method was used to detect genes encoding shiga toxins1 and 2 (stx1 and stx2). To detect stx1 and stx2 genes, two primer pairs were designed for Multiplex-PCR then PCR-ELISA. PCR products (490 and 275, respectively) were subsequently verified by sequencing. Sensitivity and specificity of PCR-ELISA method were determined by using genome serial dilution and Enterobacteria strains. PCR-ELISA method used in this study proved to be a rapid and precise approach to detect different types of shiga toxins and can be used to detect bacterial genes encoding shiga toxins. (C) 2015 Elsevier Editora Ltda. All rights reserved.

Item Type: Article
Keywords: Shigella dysenteriae E. coli O157:H7 PCR-ELISA Diagnostic methods shiga toxin escherichia-coli multiplex pcr o157-h7 genes assay involvement infection bacteria serotype Infectious Diseases
Divisions:
Page Range: pp. 278-284
Journal or Publication Title: Brazilian Journal of Infectious Diseases
Journal Index: ISI
Volume: 19
Number: 3
Identification Number: https://doi.org/10.1016/j.bjid.2015.02.008
ISSN: 1413-8670
Depositing User: مهندس مهدی شریفی
URI: http://eprints.bmsu.ac.ir/id/eprint/5474

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